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Engineering harmony under multi-constraint objectives: the perspective of meta-analysis

    Qiankun Wang Affiliation
    ; Weiwei Zuo Affiliation
    ; Qianyao Li Affiliation

Abstract

Harmony is the process of coordinated development between the elements, subsystems and the environment in each Engineering stage of the engineering implementation. Quality, duration, cost and risk are the key factors to achieve engineering harmony. Clarifying the influencing factors of engineering harmony and its mechanism can improve the possibility of success. The meta-analysis method is used to carry out a restudy of existing researches of engineering harmony. First, quality, duration, cost and risk are selected as the variables of achieving engineering harmony. Second, the paper collects 29 existing researches including many countries and regions around the world on the relationship between the variables and engineering harmony. Third, each value is calculated and corrected according to literature coding. Forth, publication deviation and total effect test are checked. Finally, the research conclusions and engineering management implications are given based on the results of meta-analysis. The results show that quality objective, duration objective, cost objective and risk management objective all have positive impact on achieving engineering harmony. The engineering type has no regulatory effect on positive impact of the duration objective and cost objective, but has regulatory effect on positive impact of the quality objective and risk management objective on the engineering harmony.


First published online 23 January 2020

Keyword : engineering harmony, scheduling, quality, lifestyle costing, risk management, meta-analysis

How to Cite
Wang, Q., Zuo, W., & Li, Q. (2020). Engineering harmony under multi-constraint objectives: the perspective of meta-analysis. Journal of Civil Engineering and Management, 26(2), 131-146. https://doi.org/10.3846/jcem.2020.11820
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Feb 7, 2020
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References

Abdal Noor, B. (2018). Review of BIM literature in construction industry and transportation: meta-analysis. Construction Innovation, 18(4), 433-452. https://doi.org/10.1108/CI-05-2017-0040

Al-Bahar, J. F., & Crandall, K. C. (1990). Systematic risk management approach for construction projects. Journal of Construction Engineering and Management, 116(3), 533-546. https://doi.org/10.1061/(ASCE)0733-9364(1990)116:3(533)

Alger, P. L. (2013). Engineering and quality control. Electrical Engineering, 66(1), 16-19. https://doi.org/10.1109/EE.1947.6443323

Aliverdi, R., Naeni, L. M., & Salehipour, A. (2013). Monitoring project duration and cost in a construction project by applying statistical quality control charts. International Journal of Project Management, 31(3), 411-423. https://doi.org/10.1016/j.ijproman.2012.08.005

Ameh, O. J., Soyingbe, A. A., & Odusami, K. T. (2010). Significant factors causing cost overruns in telecommunication projects in Nigeria. Journal of Construction in Developing Countries, 15(2), 49-67.

Amusan, L. M., Afolabi, A., Ojelabi, R., Omuh, I., & Okagbue, H. I. (2018). Data exploration on factors that influences construction cost and time performance on construction project sites. Data in Brief, 17, 1320-1325. https://doi.org/10.1016/j.dib.2018.02.035

Arashpour, M., Abbasi, B., Arashpour, M., Hosseini, M. R., & Yang, R. (2017). Integrated management of on-site, coordination and off-site uncertainty: Theorizing risk analysis within a hybrid project setting. International Journal of Project Management, 35(4), 647-655. https://doi.org/10.1016/j.ijproman.2017.02.016

Assaf, S. A., & Al-Hejji, S. (2006). Causes of delay in large construction projects. International Journal of Project Management, 24(4), 349-357. https://doi.org/10.1016/j.ijproman.2005.11.010

Atinc, G., Darrat, M., Fuller, B., & Parker, B. W. (2010). Perceptions of organizational politics: A meta-analysis of theoretical antecedents. Journal of Managerial Issues, 22(4), 494-513.

Azaron, A., Katagiri, H., & Sakawa, M. (2007). Time-cost tradeoff via optimal control theory in Markov PERT networks. Annals of Operations Research, 150(1), 47-64. https://doi.org/10.1007/s10479-006-0149-x

Badewi, A. (2016). The impact of project management (PM) and benefits management (BM) practices on project success: Towards developing a project benefits governance framework. International Journal of Project Management, 34(4), 761-778. https://doi.org/10.1016/j.ijproman.2015.05.005

Bowen, F. E., Rostami, M., & Steel, P. (2010). Timing is everything: A meta-analysis of the relationships between organizational performance and innovation. Journal of Business Research, 63(11), 1179-1185. https://doi.org/10.1016/j.jbusres.2009.10.014

Büschgens, T., Bausch, A., & Balkin, D. B. (2013). Organizational culture and innovation: A meta-analytic review. Journal of Product Innovation Management, 30(4), 763-781. https://doi.org/10.1111/jpim.12021

Card, N. A. (2012). Applied meta-analysis for social science research. New York, NY, US: Guilford Press.

Chandra, H. P. (2015). Structural equation model for investigating risk factors affecting project success in Surabaya. Procedia Engineering, 125, 53-59. https://doi.org/10.1016/j.proeng.2015.11.009

Chandra, H. P., Indarto, Wiguna, P. A. I., & Kaming, P. F. (2012). Model of stakeholder influence on project success, an important finding from construction project in East Java. International Journal of Academic Research, 4(2), 41-45.

Chen, Q., Jin, Z., Xia, B., Wu, P., & Skitmore, M. (2016). Time and cost performance of design–build projects. Journal of Construction Engineering and Management, 142(2), 414-415. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001056

Chou, J. S. (2011). Cost simulation in an item-based project involving construction engineering and management. International Journal of Project Management, 29(6), 706-717. https://doi.org/10.1016/j.ijproman.2010.07.010

Crook, T. R., Ketchen, D. J., Combs, J. G., & Todd, S. Y. (2008). Strategic resources and performance: A meta-analysis. Strategic Management Journal, 29(11), 1141-1154. https://doi.org/10.1002/smj.703

Daihu, C. (2015). Research on impact of risk management ability of project on contextual performance (Master’s thesis). Dalian University of Technology.

Dalton, D. R., Daily, C. M., Certo, S. T., & Roengpitya, R. (2003). Meta-analyses of financial performance and equity: Fusion or confusion? Academy of Management Journal, 46(1), 13-26. https://doi.org/10.2307/30040673

Davis, J., Mengersen, K., Bennett, S., & Mazerolle, L. (2014). Viewing systematic reviews and meta-analysis in social research through different lenses. Springerplus, 3, 511. https://doi.org/10.1186/2193-1801-3-511

Deshpande, A. M., Siddhalingeshwar, I. G., & Ekabote, N. (2016). Implementation of advanced product quality planning in engineering project. Journal of Biotechnology, 185, S7. https://doi.org/10.16920/jeet/2016/v0i0/85705

Doloi, H., Iyer, K. C., & Sawhney, A. (2011). Structural equation model for assessing impacts of contractor’s performance on project success. International Journal of Project Management, 29(6), 687-695. https://doi.org/10.1016/j.ijproman.2010.05.007

Domingues, M. S. Q., Baptista, A. L. F., & Tato, D. M. (2017). Engineering complex systems applied to risk management in the mining industry. International Journal of Mining Science and Technology, 27(4), 611-616. https://doi.org/10.1016/j.ijmst.2017.05.007

Feng, H., Wei, J., & Zhang, G. (2015). Earned value method in the application of the project schedule and cost management of highway construction. International Journal of Science, 2(7), 21-24.

Fernandez-Viagas, V., & Framinan, J. M. (2014). Integrated project scheduling and staff assignment with controllable processing times. The Scientific World Journal, 924120. https://doi.org/10.1155/2014/924120

Fernandez-Viagas, V., & Framinan, J. M. (2015). Controllable processing times in project and production management: Analysing the trade-off between processing times and the amount of resources. Mathematical Problems in Engineering, 826318. https://doi.org/10.1155/2015/826318

Foy, T. D. (2013). Quality control as a management tool: Organization of quality control as a management tool. Electrical Engineering, 66(5), 483-486. https://doi.org/10.1109/EE.1947.6443521

Frank, M., Sadeh, A., & Ashkenasi, S. (2011). The relationship among systems engineers’ capacity for engineering systems thinking, project types, and project success. Project Management Journal, 42(5), 31-41. https://doi.org/10.1002/pmj.20252

Fu, F., & Zhang, T. (2016). A new model for solving time-costquality trade-off problems in construction. Plos One, 11(12), e0167142. https://doi.org/10.1371/journal.pone.0167142

Galvin, J. (2017). Critical role of risk management in ground engineering and opportunities for improvement. Journal of China University of Mining & Technology, 27(5), 725-731. https://doi.org/10.1016/j.ijmst.2017.07.005

García, H., Valles, A., Sánchez, J., Noriega, S., & Dominguez, G. (2017). Statistical equation modeling analysis for industrial projects, designing for critical factors and latent variables: quality, cost, time, and success. The International Journal of Advanced Manufacturing Technology, 88(1), 767-779. https://doi.org/10.1007/s00170-016-8675-4

Garwood, D. A., & Poole, A. H. (2018). Project management as information management in interdisciplinary research: “Lots of different pieces working together”. International Journal of Information Management, 41(4), 14-22. https://doi.org/10.1016/j.ijinfomgt.2018.03.002

Gioacchino, L. (2005). Meta-analysis in medical research: The handbook for the understanding and practice of meta-analysis. Oxford: Blackwell Publishing.

Glass, G. V., McGaw, B., & Smith, M. L. (1981). Meta-analysis in social research. Beverly Hills, CA: Sage.

Golchin Rad, K., & Kim, S.-Y. (2018). Factors affecting construction labor productivity: Iran case study. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 42(2), 165-180. https://doi.org/10.1007/s40996-018-0095-2

Grennberg, T. (1993). Project types in building and construction. International Journal of Project Management, 11(2), 68-71. https://doi.org/10.1016/0263-7863(93)90012-C

Haq, S. U., Liang, C., Gu, D., & Ma, Y. (2016). Understanding the determinantsof project performance: Empirical evidencesfrom software houses of Pakistan. In WHICEB 2016, Wuhan, China.

Hasan, M. S. M. S. (2017). Examining the effects of challenges faced in green construction on project outcomes: A Chinese perspective. International Journal of Engineering and Technology, 6(4), 315-321. https://doi.org/10.7763/IJET.2017.V9.990

Hedges, L. V., & Olkin, I. (1985). Statistical methods for metaanalysis. New York: Academic Press, Inc.

Horman, M. J., & Kenley, R. (2005). Quantifying levels of wasted time in construction with meta-analysis. Journal of Construction Engineering and Management, 131(1), 52-61. https://doi.org/10.1061/(ASCE)0733-9364(2005)131:1(52)

Hu, K., & Zhang, R. (2016). Empirical research on influencing factors of highway project performance based on SEM. Engineering Economy, 26(3), 15-19.

Hunter, J. E., & Schmidt, F. L. (2004). Methods of meta-analysis: Correcting error and bias in research findings. Thousand Oaks, CA, US: Sage Publications, Inc. https://doi.org/10.4135/9781412985031

Hwang, B. G., & Ng, H. B. (2016). Project network management: risks and contributors from the viewpoint of contractors and sub-contractors. Technological and Economic Development of Economy, 22(4), 631-648. https://doi.org/10.3846/20294913.2015.1067847

Idiake, J. E., Oke, A. A., & Shittu, A. A. (2015). Analysis of cost and quality relationship of private building projects in Abuja, Nigeria. International Journal of Construction Engineering and Management, 4(2), 35-43.

Ikediashi, D. I., & Ogwueleka, A. C. (2016). Assessing the use of ICT systems and their impact on construction project performance in the Nigerian construction industry. Journal of Engineering, Design and Technology, 14(2), 252-276. https://doi.org/10.1108/JEDT-08-2014-0047

Iqbal, S., Choudhry, R. M., Holschemacher, K., Ali, A., & Tamošaitienė, J. (2015). Risk management in construction projects. Technological and Economic Development of Economy, 21(1), 65-78. https://doi.org/10.3846/20294913.2014.994582

Isaac, S., & Edrei, T. (2016). A statistical model for dynamic safety risk control on construction sites. Automation in Construction, 63(18), 66-78. https://doi.org/10.1016/j.autcon.2015.12.006

Jaśkowski, P. (2015). Methodology for enhancing reliability of predictive project schedules in construction. Eksploatacja i Niezawodnosc [Maintenance and Reliability], 17(3), 470-479. https://doi.org/10.17531/ein.2015.3.20

Jaśkowski, P., & Biruk, S. (2011). The method for improving stability of construction project schedules through buffer allocation. Technological and Economic Development of Economy, 17(3), 429-444. https://doi.org/10.3846/20294913.2011.580587

Jiang, W. (2012). Review and implementation process of metaanalysis in management research. Journal of Zhejiang University (Humanities and Social Sciences), 42(5), 144-156.

Jin, Y. C. (2015). Minimizing total weighted completion time under makespan constraint for two-agent scheduling with jobdependent aging effects. Computers & Industrial Engineering, 83(C), 237-243. https://doi.org/10.1016/j.cie.2015.02.024

Jin, H., Shen, L., & Wang, Z. (2018). Mapping the influence of project management on project cost. KSCE Journal of Civil Engineering, 22(9), 3183-3195. https://doi.org/10.1007/s12205-018-0397-8

Khamooshi, H., & Cioffi, D. F. (2013). Uncertainty in task duration and cost estimates: Fusion of probabilistic forecasts and deterministic scheduling. Journal of Construction Engineering and Management, 139(5), 488-497. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000616

Kiew, P. N., Ismail, S., & Yusof, A. M. (2016). Integration of quality management system in the Malaysian construction industry. The Journal of Organizational Management Studies, 117211. https://doi.org/10.5171/2016.117211

Kim, D. Y., Kim, H., Han, S. H., & Park, H. (2009). Structuring the prediction model of project performance for international construction projects: A comparative analysis. Expert Systems with Applications, 36(2), 1961-1971. https://doi.org/10.1016/j.eswa.2007.12.048

King, D. R., Dalton, D. R., Daily, C. M., & Covin, J. G. (2004). Meta-analyses of post-acquisition performance: Indications of unidentified moderators. Strategic Management Journal, 25(2), 187-200. https://doi.org/10.1002/smj.371

Li, M., Yu, H., Jin, H., & Liu, P. (2018). Methodologies of safety risk control for China’s metro construction based on BIM. Safety Science, 110, 418-426. https://doi.org/10.1016/j.ssci.2018.03.026

Liberatore, M. J., & Pollack-Johnson, B. (2013). Improving project management Decision making by modeling quality, time, and cost continuously. IEEE Transactions on Engineering Management, 60(3), 518-528. https://doi.org/10.1109/TEM.2012.2219586

Lim, C. S., & Mohamed, M. Z. (1999). Criteria of project success: an exploratory re-examination. International Journal of Project Management, 17(4), 243-248. https://doi.org/10.1016/S0263-7863(98)00040-4

Lin, C. W. R., & Hsiau, H. J. (2010). A genetic algorithm approach for optimizing chemical towers construction project scheduling with dynamic resources constraints. International Journal of Industrial Engineering Theory Applications & Practice, 17(2), 128-141.

Lines, B. C., Sullivan, K. T., Smithwick, J. B., & Mischung, J. (2015). Overcoming resistance to change in engineering and construction: Change management factors for owner organizations. International Journal of Project Management, 33(5), 1170-1179. https://doi.org/10.1016/j.ijproman.2015.01.008

Lipsey, M. W., & Wilson, D. B. (2001). The way in which intervention studies have “personality” and why it is important to meta-analysis. Evaluation & The Health Professions, 24(3), 236-254. https://doi.org/10.1177/016327870102400302

Littau, P., Jyothi Jujagiri, N., & Adlbrecht, G. (2010). 25 years of stakeholder theory in project management literature (1984– 2009). Project Management Journal, 41(4), 17-29. https://doi.org/10.1002/pmj.20195

Liu, S. (2016). How the user liaison’s understanding of development processes moderates the effects of user-related and project management risks on IT project performance. Information & Management, 53(1), 122-134. https://doi.org/10.1016/j.im.2015.09.004

Liu, J., Xie, Q., Xia, B., & Bridge, A. J. (2017). Impact of design risk on the performance of design-build projects. Journal of Construction Engineering and Management, 143(6), 04017010. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001299

Liu, L., Borman, M., & Gao, J. (2014). Delivering complex engineering projects: Reexamining organizational control theory. International Journal of Project Management, 32(5), 791-802. https://doi.org/10.1016/j.ijproman.2013.10.006

Cooper, H., Hedges, L. V., & Valentine, J. C. (2009). The hndbook of research synthesis and meta-analysis (2nd ed.). New York: Russell Sage Foundation.

Mann, C. C. (1994). Can meta-analysis make policy? Science, 266, 960-962. https://doi.org/10.1126/science.7973676

Mao, Y., & Xu, T. (2011). Research of 4M1E’s effect on engineering quality based on structural equation model. Systems Engineering Procedia, 1, 213-220. https://doi.org/10.1016/j.sepro.2011.08.034

Marzouk, M. M., & El-Rasas, T. I. (2014). Analyzing delay causes in Egyptian construction projects. Journal of Advanced Research, 5(1), 49-55. https://doi.org/10.1016/j.jare.2012.11.005

Mclean, T., Mcgovern, T., & Davie, S. (2015). Management accounting, engineering and the management of company growth: Clarke Chapman, 1864–1914. British Accounting Review, 47(2), 177-190. https://doi.org/10.1016/j.bar.2013.11.001

Mohammed, K. A., & Isah, A. D. (2012). Causes of delay in Nigeria construction industry. Interdisciplinary Journal of Contemporary Research in Business, 4(2), 758-794.

Mok, K. Y., Shen, G. Q., & Yang, J. (2015). Stakeholder management studies in mega construction projects: A review and future directions. International Journal of Project Management, 33(2), 446-457. https://doi.org/10.1016/j.ijproman.2014.08.007

Molenaar, K. R., & Dai, Q. T. (2014). Exploring critical delivery selection risk factors for transportation design and construction projects. Engineering Construction & Architectural Management, 21(6), 631-647. https://doi.org/10.1108/ECAM-11-2013-0103

Monghasemi, S., Nikoo, M. R., Fasaee, M. A. K., & Adamowski, J. (2015). A novel multi criteria decision making model for optimizing time–cost–quality trade-off problems in construction projects. Expert Systems with Applications, 42(6), 3089-3104. https://doi.org/10.1016/j.eswa.2014.11.032

Mota, J., & de Castro, L. M. (2017). Embedding of a new business as a cumulative process of combining different but complementary types of projects: The case of a project-based firm. Industrial Marketing Management, 16(9), 124-138. https://doi.org/10.1016/j.indmarman.2017.12.003

Müller, R., & Turner, J. R. (2007). Matching the project manager’s leadership style to project type. International Journal of Project Management, 25(1), 21-32. https://doi.org/10.1016/j.ijproman.2006.04.003

Musa, M. M., Amirudin, R. B., Sofield, T., & Musa, M. A. (2015). Influence of external environmental factors on the success of public housing projects in developing countries. Construction Economics and Building, 15(4), 30-34. https://doi.org/10.5130/AJCEB.v15i4.4514

Nam, T. D., Duc, D. N., & Duy, N. V. (2016). Factors affecting ODA project performance: The case of urban railway projects in Vietnam. International Journal of Economics and Finance, 8(11), 167-174. https://doi.org/10.5539/ijef.v8n11p167

Nguyen, H. T., & Hadikusumo, B. (2017). Impacts of human resource development on engineering, procurement, and construction project success. Built Environment Project and Asset Management, 7(1), 73-85. https://doi.org/10.1108/BEPAM-04-2016-0010

Nitithamyong, P., Skibniewski, M. J., & Clark, A. J. (2007). Key success/failure factors and their impacts on system performance of Web-based project management systems in construction. Electronic Journal of Information Technology in Construction, 12, 39-59.

Olechowski, A., Oehmen, J., Seering, W., & Ben-Daya, M. (2016). The professionalization of risk management: What role can the ISO 31000 risk management principles play? International Journal of Project Management, 34(8), 1568-1578. https://doi.org/10.1016/j.ijproman.2016.08.002

Petty, M. M., McGee, G. W., & Cavender, J. W. (1984). A metaanalysis of the relationships between individual job satisfaction and individual performance. Academy of Management Review, 9(4), 712-721. https://doi.org/10.5465/amr.1984.4277608

Pimchangthong, D., & Boonjing, V. (2017). Effects of risk management practice on the success of IT project. Procedia Engineering, 182, 579-586. https://doi.org/10.1016/j.proeng.2017.03.158

Pinto, J. K., & Slevin, D. P. (2013). Critical factors in successful project implementation. IEEE Transactions on Engineering Management, EM-34(1), 22-27. https://doi.org/10.1109/TEM.1987.6498856

Preethi S, & Monisha, M. (2017). Project management and its effects of quality control in construction sector. International Journal of Engineering and Management Research, 7(2), 92-96.

Qureshi, S., Qureshi, S. M., Ullah, M., Memon, M. S., & Siddiqui, M. A. (2017). Assessment of the extent of implementation of quality management system (QMS) and cost of quality (COQ) concepts – A case from a developing country. Journal of Engineering Research, 14(2), 145-155. https://doi.org/10.24200/tjer.vol14iss2pp145-155

Rao, P. S., Viswanadhan, K. G., & Raghunandana, K. (2015). Best practices for quality improvement – Lessons from top ranked engineering institutions. International Education Studies, 8(11), 169-183. https://doi.org/10.5539/ies.v8n11p169

Razo, L., Ramos, F., & Occello, M. (2010, 28 September - 1 October 2010). METAOSE: Meta-analysis for agent oriented software engineering. In 2010 IEEE Electronics, Robotics and Automotive Mechanics Conference. Morelos, Mexico. https://doi.org/10.1109/CERMA.2010.33

Reeves-Latour, M., & Morselli, C. (2016). Bid-rigging networks and state-corporate crime in the construction industry. Social Networks, 51, 158-170. https://doi.org/10.1016/j.socnet.2016.10.003

Russell, M. M., Liu, M., Howell, G., & Hsiang, S. M. (2015). Case studies of the allocation and reduction of time buffer through use of the last planner system. Journal of Construction Engineering and Management, 141(2), 04014068. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000900

Safapour, E., Kermanshachi, S., Habibi, M., & Shane, J. (2018, April). Resource-based exploratory analysis of project complexity impact on phase-based cost performance behavior. In Construction Research Congress 2018. New Orleans, Louisiana, USA. https://doi.org/10.1061/9780784481271.043

Sambasivan, M., & Soon, Y. W. (2007). Causes and effects of delays in Malaysian construction industry. International Journal of Project Management, 25(5), 517-526. https://doi.org/10.1016/j.ijproman.2006.11.007

Sambasivan, M., Deepak, T. J., Salim, A. N., & Ponniah, V. (2017). Analysis of delays in Tanzanian construction industry. Engineering, Construction and Architectural Management, 24(2), 308-325. https://doi.org/10.1108/ECAM-09-2015-0145

Sanchez, O. P., & Terlizzi, M. A. (2017). Cost and time project management success factors for information systems development projects. International Journal of Project Management, 35(8), 1608-1626. https://doi.org/10.1016/j.ijproman.2017.09.007

Sarigiannidis, L., & Chatzoglou, P. D. (2014). Quality vs risk: An investigation of their relationship in software development projects. International Journal of Project Management, 32(6), 1073-1082. https://doi.org/10.1016/j.ijproman.2013.11.001

Schuh, G., Prote, J. P., Luckert, M., Basse, F., Thomson, V., & Mazurek, W. (2018). Adaptive design of engineering change management in highly iterative product development. Procedia CIRP, 70, 72-77. https://doi.org/10.1016/j.procir.2018.02.016

Semab, S., Khan, A., & Shah, F. A. (2017). Study on delaying factors affecting the success of construction projects in Pakistan; Role of project intervention as moderator. Journal of Administrative and Business Sciences, 2(2).

Smith, P. (2016). Global professional standards for project cost management. Procedia - Social and Behavioral Sciences, 226, 124-131. https://doi.org/10.1016/j.sbspro.2016.06.170

Springer, L., Stanne, M. E., & Donovan, S. S. (1999). Effects of small-group learning on undergraduates in science, mathematics, engineering, and technology: A meta-analysis. Review of Educational Research, 69(1), 21-51. https://doi.org/10.3102/00346543069001021

Stajkovic, A. D., & Luthans, F. (2003). Behavioral management and task performance in organizations: Conceptual background, meta-analysis, and test of alternative models. Personnel Psychology, 56(1), 155-194. https://doi.org/10.1111/j.1744-6570.2003.tb00147.x

Sullivan, K. T. (2011). Quality management programs in the construction industry: Best value compared with other methodologies. Journal of Management in Engineering, 27(4), 210219. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000054

Sun, H., Shen, K.-k., & Fan, Z.-q. (2012). Analysis of factors influencing PPP project performance based on SEM. Journal of Tianjin University (Social Sciences), 14(6), 513-519.

Suprapto, M., Bakker, H. L. M., Mooi, H. G., & Hertogh, M. J. C. M. (2016). How do contract types and incentives matter to project performance? International Journal of Project Management, 34(6), 1071-1087. https://doi.org/10.1016/j.ijproman.2015.08.003

Teller, J., & Kock, A. (2013). An empirical investigation on how portfolio risk management influences project portfolio success. International Journal of Project Management, 31(6), 817-829. https://doi.org/10.1016/j.ijproman.2012.11.012

Thoedtida, T. (2014). Fuzzy critical chain risk management for quantifying impact of variation in non-critical activity duration on project duration. International Journal of Project Organisation and Management, 6(1/2), 48-66. https://doi.org/10.1504/IJPOM.2014.059744

Toor, S. U. R., & Ogunlana, S. O. (2009). Construction professionals’ perception of critical success factors for large – scale construction projects. Construction Innovation, 9(2), 149-167. https://doi.org/10.1108/14714170910950803

Toutounchian, S., Abbaspour, M., Dana, T., & Abedi, Z. (2018). Design of a safety cost estimation parametric model in oil and gas engineering, procurement and construction contracts. Safety Science, 106, 35-46. https://doi.org/10.1016/j.ssci.2017.12.015

Wang, Y. R., Yu, C. Y., & Chan, H. H. (2012). Predicting construction cost and schedule success using artificial neural networks ensemble and support vector machines classification models. International Journal of Project Management, 30(4), 470-478. https://doi.org/10.1016/j.ijproman.2011.09.002

Wang, X., Xia, N., Zhang, Z., Wu, C., & Liu, B. (2017). Human safety risks and their interactions in China’s subways: Stakeholder perspectives. Journal of Management in Engineering, 33(5), 05017004. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000544

Weiss, M., Hoegl, M., & Gibbert, M. (2017). How does material resource adequacy affect innovation project performance? A meta-analysis. Journal of Product Innovation Management, 34(6), 842-863. https://doi.org/10.1111/jpim.12368

Wilson, R. (2015). Mastering project time management, cost control, and quality management: Proven methods for controlling the three elements that define project deliverables. London: Pearson FT Press.

Wu, G., Duan, K., Zuo, J., Yang, J., & Wen, S. (2016). System dynamics model and simulation of employee work-family conflict in the construction industry. International Journal of Environmental Research & Public Health, 13(11), 1059. https://doi.org/10.3390/ijerph13111059

Xia, N., Zou, P. X. W., Griffin, M. A., Wang, X., & Zhong, R. (2018). Towards integrating construction risk management and stakeholder management: A systematic literature review and future research agendas. International Journal of Project Management, 36(5), 701-715. https://doi.org/10.1016/j.ijproman.2018.03.006

Xie, X., & Guo, D. (2017). Human factors risk assessment and management: process safety in engineering. Process Safety & Environmental Protection, 113, 467-482. https://doi.org/10.1016/j.psep.2017.11.018

Yang, L.-R., Chen, J.-H., & Huang, C.-F. (2013). A comprehensive framework for evaluating key project requirements. Journal of Civil Engineering and Management, 19(Sup. 1), S91-S105. https://doi.org/10.3846/13923730.2013.801903

Zhang, Y., Liu, S., Tan, J., Jiang, G., & Zhu, Q. (2018). Effects of risks on the performance of business process outsourcing projects: The moderating roles of knowledge management capabilities. International Journal of Project Management, 36(4), 627-639. https://doi.org/10.1016/j.ijproman.2018.02.002

Zhao, X. (2017). A scientometric review of global BIM research: Analysis and visualization. Automation in Construction, 80, 37-47. https://doi.org/10.1016/j.autcon.2017.04.002